This study uses audiovisual narratives to investigate adolescents’ responses to homophobic bullying of Brazilian gay boys. It explores how the gender expression (conforming vs non-conforming) and sexual orientation (gay vs heterosexual) of the victims influence viewers’ support. A sample of Brazilian adolescents (n = 178; 11—16 years-old, M = 13.7, SD = 1.6; 50
This introduction situates Digital Solidarity Economies (DSE) as an analytical and practical framework for reimagining the digital economy through cooperation, mutual aid, and shared ownership. In response to the concentration of power within platform capitalisms, DSE highlight grassroots and institutional initiatives that democratise digital infrastructures and governance. Drawing on traditions of the social and solidarity economy, free and open-source cultures, and feminist and decolonial technoscience, the special issue explores how communities across the world build technological sovereignty from below. The contributions collectively advance a plural understanding of digital solidarity economies by foregrounding infrastructural arrangements, situated practices, and institutional experimentation as key sites through which digital economies oriented toward the reproduction of life are being built.
Does the language or dialect used in political messages affect people's trust? While previous research has consid ered the question, little is known about how different languages and accents shape trust. Using an experimental matched-guise design in Catalonia, we test how standard Catalan, standard Spanish, and accented versions of both affect listeners' trust in the speaker. We find that people generally trust the standard, non-accented version more, especially when it comes from their in-group. This effect is even stronger among individuals with a strong Catalan or Spanish identity-especially the latter-and among those on the far right.
Context: Interest in diversity in software development has significantly increased in recent years. Reporting on diversity in software projects can enhance user trust and assist regulators in evaluating adoption. Recent AI directives include clauses that mandate diversity information during development, highlighting the growing interest of public regulators. However, current documentation often neglects diversity in favor of technical features, partly due to a lack of tools for its description and annotation. Objectives: This work introduces the Software Diversity Card, a structured approach to document and share diversity-related aspects within software projects. It aims to profile the various teams involved in software development and governance, including user groups in testing and software adaptations for diverse social groups. Methods: We performed a literature review on diversity and inclusion in software development and an analysis of 1000 top-starred Open Source Software (OSS) repositories in GitHub to identify diversity-related information. Moreover, we present a diversity modeling language, a toolkit for generating the cards using that language, and a study of its application in two real-world software projects. Results: Despite the growing awareness of diversity in the research community, our analysis found a notable lack of diversity reporting in OSS projects. Applying the card to real-world examples highlighted challenges like balancing anonymity with transparency, managing sensitive data, and ensuring authenticity. Conclusion: We believe that our proposal can enhance diversity practices in software development, support public administrations in software assessment, and help businesses promote diversity as a key asset.
Current frameworks and policy instruments for monitoring and regulating European electricity markets fall short of fully addressing the complexities that arise during periods of market distress. Our study makes two key contributions in this area: First, it provides a novel, integrative analysis of systemic risk across 25 energy markets, encompassing oil, natural gas, and coal, as well as 21 European electricity markets. Second, it introduces Time Series Generative Adversarial Networks to systemic risk literature, enabling real-time tracking of market resilience. Our findings show that systemic distress in European electricity markets was higher in Q3 2021 than in late 2021 and early 2022, despite record-high electricity prices in the latter period, which many assumed reflected maximum market distress. This suggests that policy interventions enacted at the end of 2021 effectively reduced systemic distress in European electricity markets. However, fossil fuel markets reached a peak in risk during the first quarter of 2022, underscoring energy security concerns for Europe due to its reliance on foreign fuel sources, as prices are set in a global rather than regional context. Our modeling framework offers a tool to assess such risks in real time, providing valuable insights for proactive policymaking in the European energy sector.
